Enhancement of robust foreground detection through masked GreyWorld and color co-occurrence approach

Abstract

Total robustness to illumination change is difficult to solve just using a single approach. Our approach to improvement in accuracy and robustness to illumination change is by fusing two different methods, namely, color constancy and color co-occurrence. A "grey world" assumption is used to handle sudden illumination change while color co occurrence modelling is used to handle gradual illumination change. The novelty of our approach is the introduction of a mask and a probabilistic approach for adjustment of the grey constant values. In addition, because of our novel color co occurrence approach, our algorithm can distinguish between "moving" background and moving foreground. The results pro..